AI-900 - Azure AI Fundamentals | Microsoft Certification | Exam Questions | Exam Preparation | 400+ Real Exam-Oriented Questions

If you are planning to clear the Microsoft Azure AI Fundamentals (AI-900) certification, this blog is created specifically for you.

I have prepared a complete AI-900 question bank based on the official Microsoft study guide, real exam patterns, and hands-on Azure experience.
This content is ideal for beginners, working professionals, and students who want to pass the AI-900 exam with confidence.

🎯 Why This AI-900 Blog Is Useful

Most AI-900 learners struggle with:

 - Understanding what kind of questions come in the real exam

 - Identifying important vs less important topics

 - Finding reliable practice questions with correct answers

 - Getting clear explanations instead of dumps

This blog solves those problems.

✔ What You Will Get:

✅ 400+ exam-oriented AI-900 questions (target achieved soon)

✅ Questions aligned with latest Microsoft AI-900 syllabus

✅ Medium to advanced level questions (real exam style)

✅ Clear and correct answers

✅ YouTube video explanations for better understanding

✅ Structured learning from basic → medium → advanced

📘 AI-900 Exam Topics Covered

All questions are strictly based on the Microsoft AI-900 Study Guide, including:

🔹 1. Describe AI Workloads and Responsible AI

1. Computer Vision workloads

2. NLP workloads

3. Document processing workloads

4. Generative AI workloads

5. Responsible AI principles:

   1. Fairness

   2. Reliability & Safety

   3. Privacy & Security

   4. Inclusiveness

   5. Transparency

   6. Accountability

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🔹 2. Machine Learning Fundamentals on Azure

1. Regression, Classification, Clustering

2. Features vs Labels

3. Training vs Validation datasets

4. Overfitting & Underfitting

5. Automated Machine Learning (AutoML)

6. Azure Machine Learning capabilities

7. Model training, deployment & inference pipelines

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🔹 3. Computer Vision on Azure

1. Image classification

2. Object detection

3. Optical Character Recognition (OCR / Read API)

4. Facial detection & facial analysis

5. Azure AI Vision service

6. Face API scenarios

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🔹 4. Natural Language Processing (NLP)

1. Key phrase extraction

2. Entity recognition

3. Sentiment analysis

4. Language detection

5. Speech-to-Text & Text-to-Speech

6. Translation

7. Azure AI Language service

8. Azure AI Speech service

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🔹 5. Generative AI on Azure

1. Generative AI concepts

2. Azure OpenAI Service

3. Prompt engineering basics

4. Responsible AI considerations for generative AI

5. Model safety & content moderation

6. Azure AI Foundry & model catalog (exam-relevant concepts)

🎥 AI-900 YouTube Video Series (21 Videos)

To make learning easier, I have explained each question set in video format.

📌 Total Videos: 22
📌 Total Questions Covered: ~440
📌 Difficulty Level: Real exam level

👉 Watch the full AI-900 playlist here:

https://www.youtube.com/playlist?list=PL_HS7IsXErLY5ui0xl8ioo6CS3cy2djoq

🧠 How to Use This Blog to Pass AI-900

I strongly recommend this approach:

1️⃣ First, go through Microsoft Learn AI-900 modules
2️⃣ Then, practice questions from this blog
3️⃣ Watch the related YouTube videos
5️⃣ Revise Responsible AI principles carefully
6️⃣ Attempt the exam with confidence 🚀

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🏆 Who Should Use This Blog?

This blog is perfect for:

✔ Beginners with no AI background
✔ Developers & IT professionals
✔ Students preparing for certifications

✔ Anyone planning to clear AI-900 in first attempt

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📢 Final Words

The AI-900 exam is not difficult, but it requires correct understanding and practice.
With 400+ real exam-oriented questions and 21 detailed videos, this blog is designed to be your one-stop AI-900 preparation resource.

If this content helps you:

👍 Like the videos
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💬 Share this blog with others preparing for AI-900